Webgis Application for Dengue Fever Infectious Disease Mapping

Hetty Meileni; Desi Apriyanti; Meivi Kusnandar; A. Ari Gunawan Sepriyansah; Miftahul Jannah; Adhitia Cahya Nugraha; Rahmat Zaki

doi:10.2991/978-94-6463-118-0_43

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Webgis Application for Dengue Fever Infectious Disease Mapping

Authors

Hetty Meileni¹^{, *}, Desi Apriyanti¹, Meivi Kusnandar¹, A. Ari Gunawan Sepriyansah¹, Miftahul Jannah¹, Adhitia Cahya Nugraha¹, Rahmat Zaki¹

¹Department of Informatics Management, Politeknik Negeri Sriwijaya, Bukit Besar, Indonesia

^*Corresponding author. Email: meileni@polsri.ac.id

Corresponding Author

Hetty Meileni

Available Online 26 June 2023.

DOI: 10.2991/978-94-6463-118-0_43 How to use a DOI?
Keywords: Dengue Hemorrhagic Fever; Distribution Pattern; Map
Abstract: The city of Palembang has cases of infectious diseases that continue to increase due to worsening environmental conditions, while the use of maps by agencies in the analysis of the health sector is still limited to maps that do not meet cartographic rules. The aim of this study is to offer information on infectious diseases in the form of maps, to understand their patterns of distribution, their relationships with environmental factors, and to assess the degree of vulnerability. The results of this study indicate that there is a variation of the best interval class system based on the classification test by presenting data using a visual map that is clearly visible compared to statistical tables; the pattern of infectious diseases has similarities; Except for the parameter of the amount of use of unprotected water sources, which has a substantial association with dengue sickness, most environmental condition-determining factors do not have a pattern that is spread with the level of random grouping.
Copyright: © 2023 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 6th FIRST 2022 International Conference (FIRST-ESCSI-22)
Series: Atlantis Highlights in Engineering
Publication Date: 26 June 2023
ISBN: 978-94-6463-118-0
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-118-0_43 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Hetty Meileni
AU  - Desi Apriyanti
AU  - Meivi Kusnandar
AU  - A. Ari Gunawan Sepriyansah
AU  - Miftahul Jannah
AU  - Adhitia Cahya Nugraha
AU  - Rahmat Zaki
PY  - 2023
DA  - 2023/06/26
TI  - Webgis Application for Dengue Fever Infectious Disease Mapping
BT  - Proceedings of the 6th FIRST 2022 International Conference (FIRST-ESCSI-22)
PB  - Atlantis Press
SP  - 420
EP  - 427
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-118-0_43
DO  - 10.2991/978-94-6463-118-0_43
ID  - Meileni2023
ER  -

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